Profile monitoring is an important tool for quality control. Most existing profile approaches focus on a single profile. In practice, multiple profiles also widely exist and these contain rich correlation information that can benefit the of interested/target this article, we propose transfer learning framework to extract profile-to-profile inter-relationship improve performance. framework, are ...

In recent years there has been a growing interest in developing Ambient Intelligence based systems in order to create smart environments for user and environmental monitoring. In fact, higher-level monitoring systems with vital information about the user and the environment around him/her represents an improvement of the quality of care provided. In this paper, we propose an architecture that i...

Willow (Salix spp.) and associated riparian shrub communities provide habitat to a wide variety of wildlife species. Because of high between-observer variability and a lack of standardized protocols, ground-based monitoring of willow abundance has proven difficult. The objective of this study was to evaluate variability associated with collection and analysis of field data for a photo-based mon...

Monitoring multichannel profiles has important applications in manufacturing systems improvement, but it is non-trivial to develop efficient statistical methods due to the facts that profiles are high-dimensional functional data with intrinsic innerand inter-channel correlations, and that the change might only affect a few unknown features of multichannel profiles. To tackle these challenges, w...